Shenoy, Niraj

Significance This study demonstrates that underexpression of succinate dehydrogenase (SDH) subunits resulting in accumulation of oncogenic succinate is a common, adverse, epigenetic modulating feature in clear cell renal cell carcinoma (ccRCC), during pathogenesis and progression. The study sheds light on the mechanisms of down-regulation of SDH subunits in ccRCC and deciphers the consequent oncogenic effects. It shows that functional SDH deficiency is a common feature of ccRCC (∼80% of all kidney cancers), and not just limited to the 0.05 to 0.5% of kidney cancers with germline SDH mutations.

64 Background: According to recent reports, ~1 in 4 patients with metastatic prostate cancer may harbor alterations in DNA damage repair (DDR) genes. Clinical trial data demonstrates that prostate cancer patients with DDR mutations may respond to poly-ADP ribose polymerase (PARP) inhibitors. Less is known about the mutational profile in minority patients with prostate cancer. We sought to determine the genomic profile of prostate cancer in an ethnically diverse patient population at a single center. Methods: We performed a retrospective review of men with prostate cancer at the Montefiore-Einstein Cancer Center who had next generation sequencing (NGS) with FoundationOne solid tumor testing between 2/2016 - 8/2019. Individual chart review was used to obtain clinical and demographic data including self-reported race/ethnicity. Results: NGS was attempted on archival tissue from 95 patients and results were obtained for 85. Among patients with results, the self-reported race/ethnicity was: Hispanic (H) 37.6%, Non-Hispanic Black (NHB) 52.9%, Non-Hispanic White (NHW) 4.7%, and Other (O) 4.7%. At the time of tissue sampling, 61 patients had metastatic disease and 10 were castration-resistant. 63 samples were from the prostate, 7 from bone, 7 from lymph node, 3 from liver and 5 from other soft tissue sites. The most commonly altered genes included: TP53 (26%), TMPRSS2-ERG fusion (23%), and PTEN (17%). Alterations in the androgen receptor were identified in 5 samples (all with CRPC). 32.8% had alterations in DDR genes including BRCA2 9 (10.6%), ATM 7 (8.2%), ATR 4 (4.7%), BRIP1 2 (2.3%), CDK12 3 (3.5%), FANCA 2 (2.3%), and PALB2 1 (1.2%). Alterations in mismatch repair genes (MSH2, MLH1, MSH6, PMS2) were present in 4 (4.7%) patients (3 of these were MSI-H). In samples where tumor mutational burden (TMB) was reported, 4 (4.7%) were TMB-high (3 MSI-H and 1 with POLE mutation). Conclusions: DDR gene mutations are common in this primarily minority population. As DDR mutations become more common in the CRPC setting, our data may underestimate the frequency of DDR mutations as only 10 patients had CRPC at the time of tissue sampling. Minority men, like all men, with prostate cancer should be considered for genomic analysis as results are likely to guide therapeutic decisions.

TPS679 Background: AA has re-emerged as a promising anti-cancer agent based on recent knowledge of pharmacokinetics, discovery of unexpected mechanisms of action, and early phase trials with IV AA.(Shenoy et al, Cancer Cell 34: 2018, in press) We hypothesized that ccRCC would be particularly susceptible to anti-cancer effects of IV AA due to: a. TET dependent demethylation of the hypermethylated genome of ccRCC causing re-expression of tumor suppressors (Shenoy et al, AACR 2018 Targeting DNA methylation conf. A11; Hu et al, Clin Cancer Res 20:4349-60, 2014) b. H2O2 production causing intra-tumoral oxidative damage, hypothesized to be enhanced by high iron content in RCC microenvironment c. Intracellular accumulation of dehydroascorbic acid secondary to high HIF activity in ccRCC. Animal data and case reports support the hypothesis. Methods: Trial design: Patients (pts) with newly diagnosed metastatic/ unresectable ccRCC are randomized 1:1 to arm A (pazopanib 800 mg/d plus IV AA 1g/kg 3 times/week) or arm B (pazopanib 800 mg/d). Protocol treatment is for 10 cycles (unless PD, unacceptable AE, alternative therapy, or pt refusal), each cycle being 28 days. Primary endpoint is Treatment Failure-Free rate at 40 weeks (TFF40). Treatment Failure is defined as: Radiographic disease progression, off-protocol treatment due to AE, alternative therapy initiation (except metastasectomy post clinical benefit), or death. Secondary endpoints include OS, PFS, ORR and AE. Statistical methods: 82 eligible pts (41 in each in arm) will provide 81% power to detect a 19% increase of TFF40 from 45% in arm B to 64% in arm A assuming a one-sided type I error rate of 0.19 (EAST 6.4). Correlatives: Epigenetic mechanism: 5mC, 5hmC and H3K27me3 IHC, MeDIP/ hMeDIP seq, RNA seq. H2O2 mechanism: tumor microenvironment iron, tumor catalase IHC. Dehydroascorbic acid mechanism: HIF-1 alpha, HIF-2 alpha, GLUT-1 IHC. Key exclusion criteria: G6PD deficiency, renal disease (Cockcroft Gault CrCl < 55 ml/min). ClinicalTrials.gov Identifier: NCT03334409 Status: Open for accrual in 9/10 planned sites. Funding Source: Foundation. Clinical trial information: NCT03334409.

e13073 Background: We observed several patients with a personal history of both RCC and myeloid malignancy, and aimed to explore a possible association, especially given the similarity in their epigenetic landscape, with both being characterized by widespread aberrant hypermethylation (Hu C et al, CCR 2014; Jiang Y et al, Blood 2009). Methods: Mayo Clinic’s ‘Advanced Cohort Explorer’ database was used to identify patients with a history of both RCC and a myeloid malignancy - Acute Myelogenous Leukemia (AML), Myeloproliferative Neoplasms (MPN), Myelodysplastic syndromes (MDS) - and to determine the clinical characteristics. The incidence of MDS in patients ≥65 years with a history of RCC was compared to that in the general population ≥65 years (SEER- Medicare database) as well as the general patient population at Mayo Clinic, using one sample test of proportions. Results: A total of 59 patients were identified, with both biopsy proven RCC and a myeloid malignancy during their life time (12 AML, 9 MPN, 9 low risk MDS and 29 intermediate- high risk MDS). The cohort was characterized by marked male predominance (4.4: 1). Median age at RCC diagnosis was 64 years (range 37-87) and myeloid malignancy was 75 years (range 44-90). 46/59 patients had the RCC antecedent, 10/59 concurrent and 3/59 subsequent to the myeloid malignancy with a median time of myeloid malignancy diagnosis after RCC diagnosis of 7.7 years. For patients ≥65 years, the risk of developing MDS with a history of stage I/II RCC and nephrectomy was 5.26 times that of the general population based on the SEER-Medicare database (Cogle, Blood 2011)(395/100,000 vs 75/100,000; p value < 0.001), and 3.07 times that of the general population at Mayo Clinic (395/100,000 vs 128.4/100,000; p value < 0. 001). Conclusions: We observed an association between RCC and myeloid malignancies, particularly MDS; with a history of RCC conferring a substantially increased risk of developing MDS. We hypothesize that the perturbation of epigenetic landscape in the form of widespread hypermethylation may explain, in part, the association between the two malignancies; and aim to explore the potential aberrancy of epigenetic regulators in our patient cohort with a genomic, epigenomic and transcriptomic analysis.

479 Background: We and others have previously shown that the ccRCC epigenome is characterized by widespread DNA hypermethylation (CCR 2014, Nature 2014). Various important tumor suppressor genes (TSGs), such as SMAD7 (inhibitor of oncogenic TGF-β signaling), are under-expressed due to aberrantly methylated promoters or enhancers. We hypothesized that the hypermethylation in ccRCC could be due to low activity of the TET enzymes, which convert methylcytosine (5-mc) to hydroxymethylcytosine (5-hmc). Loss of function of TET enzymes can occur with an inactivating mutation (TET-2 is mutated in about 6% of ccRCC (Science Signaling 2013) or hypoactivity of normal TET enzymes, through inhibition by metabolic intermediates. AA is an essential co-factor for TET enzymes (JACS 2015). We hypothesized that high dose AA treatment of ccRCC could potentially increase the functional activity of TET enzymes leading to demethylation of the RCC genome, and enhance expression of TSGs. Methods: In vitro TET activity was performed on ccRCC cell line 769P with increasing doses of AA (L-AA). Genome wide quantitative 5-mc and 5-hmc was evaluated using mass spectrometry. SMAD7 expression was determined using qRT-PCR. Proliferation assay (MTT) was performed with AA in combination with pazopanib. Cell cycle and apoptosis assays were performed. Results: AA, at doses achieved only by the intravenous route (1-10mM), increased TET activity in ccRCC cell line 769P. Genome wide 5-mc was significantly reduced and 5-hmc was increased, correlating with increase in TET activity. SMAD7 expression was increased with AA treatment. High dose AA led to proliferation inhibition with a cell cycle arrest in the G1 phase, and had a synergistic effect with pazopanib. Since AA leads to the generation of H2O2 in-vitro, catalase was used as control. This did not reverse the effect of AA on epigenetic changes; and proliferation inhibition was seen despite catalase control. Conclusions: High dose AA causes TET mediated DNA demethylation of the hypermethylated RCC genome, resulting in the re-expression of TSGs, and proliferation inhibition. Sequencing and xenograft studies are underway.